Note : Les descriptions sont présentées dans la langue officielle dans laquelle elles ont été soumises.
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AUDIO WATERMARKING FOR PEOPLE MONITORING
FIELD OF THE DISCLOSURE
[0001] This disclosure relates generally to audio watermarking and, more
particularly,
to audio watermarking for people monitoring.
BACKGROUND
[0002] Audience measurement systems typically include one or more site
meters to
monitor the media presented by one or more media devices located at a
monitored site. Many
such audience measurement systems also include one or more people meters to
obtain
information characterizing the composition(s) of the audience(s) in the
vicinity of the media
device(s) being monitored. In prior audience measurement systems, the people
meters typically
are separate from the site meters, or employ different signal processing
technology than that
employed by the site meters. For example, the site meters may be configured to
process media
signals captured from the monitored media devices to detect watermarks
embedded in the media
signals, whereas the people meters may be configured to capture and process
images of an
audience, and/or process input commands entered by members of the audience.
BRIEF DESCRIPTION OF THE DRAWINGS
[0003] FIG. 1 is a block diagram of an example audience measurement system
employing audio watermarks for people monitoring as disclosed herein.
[0004] FIG. 2 is a block diagram illustrating example user devices and
an example
data processing facility that may be used to implement the example audience
measurement
system of FIG. 1.
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[0005] FIG. 3 is a block diagram of an example people monitoring
watermarker that
may be used to implement one or more of the example user devices in the
examples of FIGS. 1
and/or 2.
[0006] FIG. 4 is a block diagram of an example meter that may be used to
implement
the example audience measurement system of FIG. 1.
[0007] FIG. 5 is a flowchart representative of example machine readable
instructions
that may be executed by one or more of the example user devices of FIGS. 1
and/or 2 to
download the example people monitoring watermarker of FIG. 3.
[0008] FIG. 6 is a flowchart representative of example machine readable
instructions
that may be executed by the example data processing facility of FIGS. 1 and/or
2 to provide the
example people monitoring watermarker of FIG. 3 to one or more of the example
user devices of
FIGS. 1 and/or 2.
[0009] FIG. 7 is a flowchart representative of example machine readable
instructions
that may be executed by one or more of the example user devices of FIGS. 1
and/or 2 to
download audio signal(s) watermarked for people monitoring.
[0010] FIG. 8 is a flowchart representative of example machine readable
instructions
that may be executed by the example data processing facility of FIGS. I and/or
2 to provide
audio signal(s) watermarked for people monitoring to one or more of the
example user devices of
FIGS. 1 and/or 2.
[0011] FIG. 9 is a flowchart representative of first example machine
readable
instructions that may be executed to implement the example people monitoring
watermarker of
FIG. 3.
[0012] FIG. 10 is a flowchart representative of second example machine
readable
instructions that may be executed to implement the example people monitoring
watermarker of
FIG. 3.
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[0013] FIG. 11 is a flowchart representative of third example machine
readable
instructions that may be executed to implement the example people monitoring
watermarker of
FIG. 3.
[0014] FIG. 12 is a flowchart representative of example machine readable
instructions
that may be executed to implement the example meter of FIGS. 1 and/or 4.
[0015] FIG. 13 is a block diagram of an example processor platform that
may execute
the example machine readable instructions of 5-11 and/or 12 to implement one
or more of the
example user devices of FIGS. 1 and/or 2, the example people monitoring
watermarker of FIG.
3, the example meter of FIGS. 1 and/or 4, the example data processing facility
of FIGS. 1 and/or
2, and/or the example audience measurement system of FIG. 1.
[0016] Wherever possible, the same reference numbers will be used
throughout the
drawing(s) and accompanying written description to refer to the same or like
parts, elements, etc.
DETAILED DESCRIPTION
[0017] Methods, apparatus, systems and articles of manufacture (e.g.,
physical storage
media) to utilize audio watermarking for people monitoring are disclosed
herein. Some example
people monitoring methods disclosed herein include determining, at a user
device, whether a first
trigger condition for emitting an audio watermark identifying at least one of
the user device or a
user of the user device is satisfied. Such disclosed example methods also
include, in response to
determining that the first trigger condition is satisfied, providing a first
audio signal including the
audio watermark to an audio circuit that is to output an acoustic signal from
the user device.
[0018] In some such examples, the first trigger condition is satisfied
when an input
audio signal sensed at the user device satisfies an audio threshold.
[0019] Some such disclosed example methods further include downloading a
software
application to the user device. In such examples, the software application
determines whether
the first trigger condition is satisfied and provides the first audio signal
to the audio circuit.
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[0020] In some such disclosed example methods, the first audio signal
includes only
the audio watermark, whereas in other disclosed example methods, the first
audio signal includes
the audio watermark combined with a second signal.
[0021] Some such disclosed example methods further include determining a
level of
an input audio signal, and adjusting a level of the first audio signal based
on the level of the input
audio signal. For example, adjusting the level of the first audio signal may
include adjusting the
level of the first audio signal to cause the first audio signal to be
substantially masked by a
source of the input audio signal when the acoustic signal is output from the
user device.
[0022] In some such disclosed example methods, the audio watermark is a
first audio
watermark conveyed in a first range of frequencies different from a second
range of frequencies
used to convey a second audio watermark included in an input audio signal
sensed by the user
device.
[0023] Some such disclosed example methods further include determining,
at the user
device, whether a second trigger condition is satisfied, and in response to
determining that the
first trigger condition and the second trigger condition are satisfied, but
not if either the first
trigger condition or the second trigger condition is not satisfied, providing
the first audio signal
including the audio watermark to the audio circuit. In some such examples, the
second trigger
condition is satisfied when a location of the user device is determined to
correspond to a first
geographical area including a monitored media device. In some such examples,
the second
trigger condition is satisfied when a current time at the user device
corresponds to a first time
period. In some such examples, the second trigger condition is satisfied when
a second audio
signal is being provided to the audio circuit.
[0024] Some example people monitoring methods disclosed herein include
detecting,
with a processor (e.g., such as a site meter), a first watermark in a first
audio signal obtained
from an acoustic sensor. In such examples, the first watermark identifies
media presented by a
monitored media device, and the acoustic sensor is to sense audio in a
vicinity of the monitored
media device. Such disclosed example methods also include processing, with the
processor, the
first audio signal obtained from the acoustic sensor to determine whether a
second watermark,
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different from the first watermark, is embedded in the first audio signal. In
such examples, the
second watermark identifies at least one of a user device or a user of the
user device. Such
disclosed example methods further include, when the second watermark is
determined to be
embedded in the first audio signal, reporting at least one of the second
watermark or information
decoded from the second watermark to identify at least one of the user device
or the user of the
user device as being exposed to the media presented by the monitored media
device.
[0025] In some such disclosed example methods, the first watermark is
conveyed in a
first range of frequencies different from a second range of frequencies used
to convey the second
watermark.
[0026] In some such disclosed example methods, the first watermark is
substantially
inaudible to the user of the user device and the second watermark is
substantially inaudible to the
user of the user device, whereas in other such disclosed example methods, the
first watermark is
substantially inaudible to the user of the user device and the second
watermark is substantially
audible to the user of the user device.
[0027] In some such disclosed example methods, the first watermark is
included in a
media signal output from the monitored media device, and the second watermark
is output from
the user device.
[0028] These and other example methods, apparatus, systems and articles
of
manufacture (e.g., physical storage media) to utilize audio watermarking for
people detection are
disclosed in further detail below.
[0029] As mentioned above, in prior audience measurement systems, the
people
meters used to obtain information characterizing audience composition
typically are separate
from the site meters used to monitor the media presented by one or more media
devices located
at a monitored site, or employ signal processing technology different than
that employed by the
site meters. Unlike such prior systems, example audience measurement systems
implementing
audio watermarking for people monitoring as disclosed herein are able to reuse
the processing
technology and capabilities of the site meters to also perform people
monitoring. For example,
some example audience measurement systems disclosed herein utilize people
monitoring
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watermarks embedded in an acoustic signal output from a user device, such as
the user's mobile
phone, to identify the user device and/or the user as being in the vicinity of
a monitored media
device. In such examples, the site meter that is detecting media watermarks
embedded in the
media presented by the media device is also able to detect the people
monitoring watermarks
output from the user device.
[0030] In some disclosed examples, the people monitoring watermarks
output from
the user device are caused to be output by a software application downloaded
to the user device,
and/or are embedded in ringtones and/or other audio signals to be output by
the user device
during normal operation. In examples in which the people monitoring watermarks
are caused to
be output by a software application, the software application may evaluate one
or more trigger
conditions to optimize when to output the people monitoring watermarks, as
disclosed in further
detail below. In such examples, the site meter can correlate detection of the
people monitoring
watermarks with one or more of those trigger conditions. In examples in which
the people
monitoring watermarks are embedded in ringtones and/or other audio signals to
be output by the
user device during normal operation, the site meter may rely on opportunistic
detection of the
people monitoring watermarks to identify the user device and/or the user as
being exposed to the
media presented by the monitored media device.
[0031] In the context of media monitoring, watermarks may be transmitted
within
media signals. For example, watermarks can be used to transmit data (e.g.,
such as identification
codes, ancillary codes, etc.) with media (e.g., inserted into the audio,
video, or metadata stream
of media) to uniquely identify broadcasters and/or media (e.g., content or
advertisements), and/or
to convey other information. Watermarks are typically extracted using a
decoding operation.
[0032] In contrast, signatures are a representation of some
characteristic of the media
signal (e.g., a characteristic of the frequency spectrum of the signal).
Signatures can be thought
of as fingerprints. Signatures are typically not dependent upon insertion of
identification codes
(e.g., watermarks) in the media, but instead preferably reflect an inherent
characteristic of the
media and/or the signal transporting the media. Systems to utilize codes
(e.g., watermarks)
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and/or signatures for media monitoring are long known. See, for example,
Thomas, U.S. Patent
No. 5,481,294.
[0033] Turning to the figures, a block diagram of an example audience
metering
system 100 employing audio watermarking for people monitoring as disclosed
herein is
illustrated in FIG. 1. The example audience measurement system 100 supports
monitoring of
audience exposure to media presented at one or more monitored sites, such as
the example
monitored site 105 illustrated in FIG. 1. The monitored site 105 includes an
example media
presentation device 110. Although the example of FIG. 1 illustrates one
monitored site 105,
audio watermarking for people monitoring as disclosed herein can be used in
audience
measurement systems 100 supporting any number of monitored sites 105.
[0034] The audience measurement system 100 of the illustrated example
includes an
example site meter 115, also referred to as a site unit 115, a home unit 115,
an audience
measurement meter 115, etc., to monitor media presented by the media
presentation device 110.
In the illustrated example, the site meter 115 includes an example acoustic
sensor 120, such as,
but not limited to, a microphone, to sense acoustic signals 125 output (e.g.,
emitted) by the media
presentation device 110. The site meter 115 of the illustrated example
processes the resulting
audio signals obtained from the acoustic sensor 120 to monitor the media
presented by the media
presentation device 110.
[0035] Additionally, the example site meter 115 of FIG. 1 supports audio
watermarking for people monitoring as disclosed herein, which enables the site
meter 115 to
monitor people present in the vicinity (e.g., in the presentation area) of the
media presentation
device 110, such as the example person 130 of the illustrated example. For
example, and as
disclosed in further detail below, the acoustic sensor 120 of the site meter
115 is able to sense
example acoustic signals 135 output (e.g., emitted) by an example user device
140. The acoustic
signals 135 include one or more audio watermarks capable of, for example,
identifying the user
device 140 and/or the user 130 of the user device 140. In the illustrated
example of FIG. 1, the
site meter 115 processes the resulting audio signals obtained from the
acoustic sensor 120 to not
only monitor the media being presented by the media presentation device 110,
but to also detect
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people monitoring audio watermarks conveyed by acoustic signals output by user
devices, such
as the audio watermark(s) conveyed by the example acoustic signal 135 output
by the example
user device 140. Such audio watermarks are also referred to herein as people
monitoring audio
watermarks, people monitoring watermarks, etc., to distinguish them from media
watermarks
conveyed in the media presented by the media devices, such as the example
media presentation
device 110. As disclosed in further detail below, in some examples, the people
monitoring
watermarks enable determination of other characteristics, in addition to the
identity of the user
130 and/or the identity of the user device 140, related to the exposure of the
user 130 (or the user
device 140) to the media presented by media presentation device 110.
[0036] In some examples, the audience measurement system 100 further
includes an
example people meter 145 to capture information about the audience exposed to
media presented
by the media presentation device 110. For example, the people meter 145 may be
configured to
receive information via an input device having a set of input keys, each
assigned to represent a
single audience member. In such examples, the people meter 145 prompts the
audience
members to indicate their presence by pressing the appropriate input key on
the input device of
the people meter 145. The people meter 145 of the illustrated example may also
receive
information from the site meter 115 to determine times at which to prompt the
audience
members to enter information on people meter 145.
[0037] In the illustrated example of FIG. 1, the site meter 115
determines audience
measurement data characterizing media exposure at the monitored site 105 by
combining device
metering data (also referred to as media data, tuning data, etc.), which is
determined by
monitoring the media presentation device 110, with audience identification
data (also referred to
as demographic data, people monitoring data, etc.), which is determined from
the people
monitoring watermarks detected by the site meter 115, as well as from data
provided by the
people meter 145, if present. The site meter 115 then stores and reports this
audience
measurement data via an example network 150 to an example data processing
facility 155. The
data processing facility 155 performs any appropriate post-processing of the
audience
measurement data to, for example, determine audience ratings information,
identify targeted
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advertising to be provided to the monitored site 105, etc. In the illustrated
example, the network
150 can correspond to any type(s) and/or number of wired and/or wireless data
networks, or any
combination thereof.
[0038] In the illustrated example, the media presentation device 110
monitored by the
site meter 115 can correspond to any type of audio, video and/or multimedia
presentation device
capable of presenting media content audibly and/or visually. For example, the
media
presentation device 110 can correspond to a television and/or display device
that supports the
National Television Standards Committee (NTSC) standard, the Phase Alternating
Line (PAL)
standard, the Systeme Electronique pour Couleur avec Memoire (SECAM) standard,
a standard
developed by the Advanced Television Systems Committee (ATSC), such as high
definition
television (HDTV), a standard developed by the Digital Video Broadcasting
(DVB) Project, etc.
As another example, the media presentation device 110 can correspond to a
multimedia
computer system, a personal digital assistant, a cellular/mobile smartphone, a
radio, etc.
[0039] In the illustrated example, the user device 140 can correspond to
any type of
user device capable of emitting audio/acoustic signals. In some examples, the
user device 140 is
implemented by a portable device of the user, such as, but not limited to, a
mobile phone or
smartphone, a tablet (e.g., such as an iPadTm), a personal digital assistant
(PDA), a portable
gaming device, etc., adapted to support audio watermarking for people
monitoring in addition to
its native functionality. In some examples, the user device 140 is implemented
by a portable
device dedicated to people monitoring, such as a portable people meter (PPM)
to be carried the
audience member 130. Also, although only one user device 140 is depicted in
the example
illustrated in FIG. 1, the example audience measurement system 100 can support
any number
and/or type(s) of user devices 140.
[0040] The site meter 115 included in the audience measurement system
100 of the
illustrated example can correspond to any type of metering device capable of
monitoring media
presented by the media presentation device 110. In the illustrated example,
the site meter 115
employs non-invasive monitoring not involving any physical connection to the
media
presentation device 110. For example, the site meter 115 processes audio
signals obtained from
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the media presentation device 110 via the acoustic sensor 120 (e.g., a
microphone) to detect
media and/or source identifying audio watermarks embedded in audio portion(s)
of the media
presented by the media presentation device 110, to detect people monitoring
audio watermarks
embedded in the audio signals (e.g., acoustic signals) emitted by user
devices, such as the
acoustic signals 135 emitted by the user device 140. etc. In some examples,
the site meter 115
may additionally utilize invasive monitoring involving one or more physical
connections to the
media presentation device 110. In such examples, the site meter 115 may
additionally process
audio signals obtained from the media presentation device 110 via a direct
cable connection to
detect media and/or source identifying audio watermarks embedded in such audio
signals. In
some examples, the site meter 115 may process video signals obtained from the
media
presentation device 110 via a camera and/or a direct cable connection to
detect media and/or
source identifying video watermarks embedded in video portion(s) of the media
presented by the
media presentation device 110. In some examples, the site meter 115 may
process the
aforementioned audio signals and/or video signals to generate respective audio
and/or video
signatures from the media presented by the media presentation device 110,
which can be
compared to reference signatures to perform source and/or content
identification. Any other
type(s) and/or number of media monitoring techniques can be supported by the
site meter 115.
[0041] FIG. 2 illustrates example user devices 140A-B that may be used
to implement
the example user device 140 included in or otherwise operable with the example
audience
measurement system of FIG. 1. FIG. 2 also illustrates an example
implementation of the
example data processing facility 155 included in the example audience
measurement system of
FIG. 1. In the illustrated example of FIG. 2, the example data processing
facility 155 includes an
example people monitor downloader 205 to facilitate download of an example
people monitoring
watermarker 210 to a user device, such as the example user device 140A. For
example, the
people monitoring watermarker 210 can be implemented by one or more
applications (apps)
capable of being downloaded to and executed by the example user device 140A.
In such
examples, the people monitor downloader 205 stores the application(s)
implementing the people
monitoring watermarker 210, and may store different versions of the
applications tailored for
different types of user devices 140A. In the illustrated example, the people
monitor downloader
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205 receives a request via the network 150 from the user device 140A to
download the people
monitoring watermarker 210. The example people monitor downloader 205 then
responds to the
request by sending, via the network 150, the application(s) implementing the
people monitoring
watermarker 210 to the requesting user device 140A. The user device 140A then
installs and
executes the application(s) implementing the people monitoring watermarker
210.
[0042] As disclosed in further detail below, the people monitoring
watermarker 210
causes the user device 140A to emit acoustic signals, such as the acoustic
signal 135, which
include one or more people monitoring audio watermarks. As described above,
the people
monitoring audio watermark(s) identify the user device 140A and/or a user
(e.g., the user 130)
operating or otherwise associated with the user device 140A. In some examples,
the people
monitoring watermarker 210 evaluates one or more trigger conditions that
condition when the
people monitoring watermarker 210 is to cause the people monitoring audio
watermarks to be
output by the user device 140A. For example, and as disclosed in further
detail below, such
trigger conditions can be based on an input audio level measured by the people
monitoring
watermarker 210, a time of day, a geographic location, an operating state of
the user device
140A, etc. In such examples, detection of a people monitoring audio watermark
(e.g., by the site
meter 115) can be correlated to the trigger condition(s) that would trigger
the people monitoring
watermarker 210 to cause the people monitoring audio watermarks to be output
by the user
device 140A. An example implementation of the people monitoring watermarker
210 is
illustrated in FIG. 3, which is described in further detail below.
[0043] In the illustrated example of FIG. 2, the example data processing
facility 155
additionally or alternatively includes an example watermarked audio downloader
215 to
downloaded watermark audio data to a user device, such as the example user
device 140B. In
the illustrated example, the watermarked audio data includes, for example, any
audio data, such
as ringtones, audible alerts, audio tracks, movies, etc., capable of being
presented (e.g., output)
by the user device 140B. The watermarked audio data provided by the
watermarked audio
downloader 215 includes people monitoring audio watermark(s) embedded in or
otherwise
combined with the audio data. In the illustrated example, the watermarked
audio downloader
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215 receives a request via the network 150 from the user device 140B to
download audio data.
The example watermarked audio downloader 215 then responds to the request by
sending, via
the network 150, the requested audio data, which contains or is otherwise
combined with the
people monitoring watermark(s), to the requesting user device 140B. The user
device 140B then
stores the watermarked audio data in an example audio data store 220 for
subsequent use. The
example audio data store 220 can correspond to any type of memory, storage,
data structure,
database, etc., capable of storing audio data for subsequent retrieval.
[0044] In some examples, the user device 140B outputs (e.2., emits)
people
monitoring watermark(s) whenever the user device 140B presents (e.g., outputs,
plays, etc.) the
downloaded audio data containing the people monitoring watermark(s). For
example, when the
watermarked audio data downloaded from the watermarked audio downloader 215
corresponds
to a ringtone or audible alert, the user device 140B outputs (e.g., emits)
people monitoring
watermark(s) whenever the user device 140B plays the ringtone, outputs the
audio alert, etc.
Similarly, when the watermarked audio data downloaded from the watermarked
audio
downloader 215 corresponds an audio track, movie, etc., the user device 140B
outputs (e.g.,
emits) people monitoring watermark(s) whenever the user device 140B presents
the audio track,
movie, etc.
[0045] A block diagram of an example implementation of the people monitoring
watermarker 210 of FIG. 2 is illustrated in FIG. 3. In some examples, the
people monitoring
watermarker 210 is implemented by one or more applications downloaded to a
user device, such
as the user devices 140 and/or 140A. In some examples, the people monitoring
watermarker 210
is implemented by a combination of hardware and/or software included in the
user device (e.g.,
the user devices 140 and/or 140A), and one or more applications downloaded to
the user device.
In some examples, the people monitoring watermarker 210 is implemented by a
combination of
hardware and/or software included in the user device (e.g., the user devices
140 and/or 140A)
before the user device is provided to a user, such as the user 130. Other
approaches for
implementing the people monitoring watermarker 210 can also be used.
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[0046] In the illustrated example of FIG. 3, the people monitoring
watermarker 210
includes an example audio watermarker 305 to generate or otherwise obtain
people monitoring
watermark(s) that convey digital information 308 identifying one or more of
(1) the user device
(e.g., the user devices 140 and/or 140A) implementing or otherwise including
the people
monitoring watermarker 210, (2) a user of the user device, (3) an operating
state of the user
device, etc., and/or any other information related to people monitoring. As
such, in some
examples, the digital information 308 conveyed by the people monitoring
watermark(s)
generated by the example audio watermarker 305 can be static information that
does not change
over time, dynamic information that changes over time, or a combination
thereof. In some
examples, the audio watermarker 305 generates the watermark to be a frequency
domain
watermark capable of conveying this digital information 308 in frequency
domain components of
an acoustic signal, such as the acoustic signal 135. Example watermark
generation techniques
that can be implemented by the audio watermarker 305 to generate such
frequency domain
watermarks include, but are not limited to, the examples disclosed in U.S.
Patent No. 8,359,205.
entitled "Methods and Apparatus to Perform Audio Watermarking and Watermark
Detection and
Extraction," which issued on January 22, 2013, U.S. Patent No. 8,369,972,
entitled "Methods
and Apparatus to Perform Audio Watermarking Detection and Extraction," which
issued on
February 5, 2013, and U.S. Publication No. 2010/0223062, entitled "Methods and
Apparatus to
Perform Audio Watermarking and Watermark Detection and Extraction," which was
published
on September 2, 2010. U.S. Patent No. 8,359,205, U.S. Patent No. 8,369,972 and
U.S.
Publication No. 2010/0223062 describe example watermarking systems in which a
watermark is
embedded in an audio signal by manipulating a set of frequencies of the of the
audio signal.
[0047] In some examples, the audio watermarker 305 generates the
watermark signal
to be a time domain watermark capable of conveying digital information in time
domain
components of an acoustic signal, such as the acoustic signal 135. In such
examples, audio
watermarker 305 may generate a watermark signal that is to modulate the
amplitude and/or phase
of an audio signal in the time domain. Example watermark generation techniques
that can be
implemented by the audio watermarker 305 to generate such time domain
watermarks include,
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but are not limited to, generating a spread spectrum time domain signal
modulated by the digital
information, which is to then be embedded in (e.g., added to) the audio signal
used to generate
the acoustic signal 135.
[0048] In some examples, the people monitoring watermark(s) generated or
otherwise
obtained by audio watermarker 305 reside in the audible frequency range (e.g.,
the range of
frequencies generally within the range of human hearing.) In some examples,
the people
monitoring watermark(s) generated or otherwise obtained by audio watermarker
305 reside
outside (e.g., above and/or below) the audible frequency range. In some
examples, the people
monitoring watermark(s) generated or otherwise obtained by audio watermarker
305 have one or
more characteristics that differentiate the people monitoring watermark(s)
from other types of
audio watermarks, such as audio watermarks embedded in the media presented by
the media
presentation device 110. For example, if the audio watermarks used for
monitoring media (e.g.,
which are embedded in the media presented by the media presentation device
110) reside in a
first range of frequencies (e.g., a first frequency band or set of bands),
then the people
monitoring watermark(s) may reside in a second range of frequencies (e.g., a
second frequency
band or set of bands) different from the first range of frequencies.
[0049] In some examples, the audio watermarker 305 embeds the people
monitoring
watermark(s) in another audio signal generated by the audio watermarker 305 or
obtained from
an example audio data store 310. For example, this other audio signal may be a
pseudo-noise
audio signal generated by the audio watermarker 305 or obtained from an
example audio data
store 310 to mask the people monitoring watermark(s). In other examples, the
other audio signal
in which the people monitoring watermark(s) is/are to be embedded may be a
tone or melodic
audio signal generated by the audio watermarker 305 or obtained from an
example audio data
store 310. In either of these examples, the audio watermarker 305 applies the
audio signal
embedded with the people monitoring watermark(s) to example audio circuitry
315 of the user
device. The audio circuitry 315 of the illustrated examples processes the
watermarked audio
signal to generate and emit an acoustic signal, such as the acoustic signal
135, via one or more
example speakers 320. The example audio circuitry 315 can be implemented by
any existing
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and/or novel audio circuit technology capable of receiving an audio signal and
emitting an
appropriate acoustic signal 135 (e.g., such as one that meets one or more
design specifications,
etc.).
[0050] In some examples, the audio watermarker 305 provides the people
monitoring
watermark(s) to the audio circuitry 315 without embedding the watermark(s) in
another audio
signal. In such examples, the acoustic signal 135 output from the audio
circuitry 315 and
speaker(s) 320 may correspond to just the people monitoring watermark(s). In
some examples,
the audio circuitry 315 may combine the people monitoring watermark(s)
provided by the audio
watermarker 305 with other audio signals already being output by the user
device, such as a
ringtone, an audible alert, an audio track, a movie, etc. In some examples,
the audio watermarker
305 obtains one or more of the people monitoring watermark(s) from the example
audio data
store 310 in addition to, or as an alternative to, generating the people
monitoring watermark(s).
The audio data store 310 can correspond to any type of memory, storage, data
structure,
database, etc., capable of storing audio data for subsequent retrieval. The
audio data store 310
can be the same as, or different from, the audio data store 220.
[0051] The example people monitoring watermarker 210 of FIG. 3 also
includes an
example trigger condition evaluator 325 to evaluate one or more trigger
conditions that condition
when the example audio watermarker 305 is to provide the people monitoring
audio
watermark(s) to the example audio circuitry 315. In the illustrated example,
the trigger condition
evaluator 325 determines whether a trigger condition for emitting the people
monitoring
watermark(s) has been satisfied. Then, in response to determining that the
trigger condition has
been satisfied, the trigger condition evaluator 325 causes (e.g., via a
signal, a function call, etc.)
the audio watermarker 305 to provide an audio signal including the people
monitoring
watermark(s) to the audio circuitry 315. As described above, this audio signal
may include just
the people monitoring watermark(s), or may be a combination of the people
monitoring audio
watermark(s) and another audio signal.
[0052] In some examples, the trigger condition evaluator 325 determines
whether
multiple trigger conditions for emitting the people monitoring watermark(s)
have been satisfied.
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In some such examples, the trigger condition evaluator 325 causes the audio
watermarker 305 to
provide the audio signal including the people monitoring watermark(s) to the
audio circuitry 315
in response to determining that all trigger conditions have been satisfied,
but not otherwise. In
some examples, the trigger condition evaluator 325 causes the audio
watermarker 305 to provide
the audio signal including the people monitoring watermark(s) to the audio
circuitry 315 in
response to determining that at least one trigger condition has been
satisfied. In some examples,
the trigger condition evaluator 325 causes the audio watermarker 305 to
provide the audio signal
including the people monitoring watermark(s) to the audio circuitry 315 in
response to
determining that a combination (e.g., a majority) of the trigger conditions
have been satisfied, but
not otherwise.
[0053] The
example people monitoring watermarker 210 of FIG. 3 includes one or
more of an example input audio evaluator 330, an example clock 335, an example
location
determiner 340 and an example device state evaluator 345 to provide trigger
condition
information to the trigger condition evaluator 325 for evaluation. The input
audio evaluator 330
of the illustrated example obtains input audio data corresponding to an input
audio signal sensed
by an example acoustic sensor 350. For example, the acoustic sensor 350 can be
a microphone
and/or other acoustic sensor of the user device (e.g., the user device 140 or
140A) implementing
or otherwise including the example people monitoring watermarker 210. The
example input
audio evaluator 330 processes the input audio data to determine a level (e.g.,
amplitude level,
power level, etc.) of the input audio signal, whether the input audio data
includes watermarks,
such as media identification watermarks, etc. The trigger condition evaluator
325 of the
illustrated example uses the input audio level determined by the input audio
evaluator 330 to
evaluate one or more audio-related trigger conditions. For example, the
trigger condition
evaluator 325 can determine that an audio level trigger condition is satisfied
when the input
audio level determined by the input audio evaluator 330 satisfies (e.g.,
equals or exceeds) an
audio threshold. The audio level trigger condition enables the trigger
condition evaluator 325 to
limit output (e.g., emission) of people monitoring watermark(s) to situations
in which the
ambient audio is strong enough to be indicative of media being presented by
the media
presentation device 110. In this way, the trigger condition evaluator 325 can
be used to trigger
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emission of the people monitoring watermark(s) to occur under conditions in
which the people
monitoring watermark(s) is/are likely to be masked by the media being
presented by the media
presentation device 110. Additionally or alternatively, the trigger condition
evaluator 325 can
determine that an watermarked audio trigger condition is satisfied when the
input audio evaluator
330 detects a watermark in the input audio data (which may indicate an
increased likelihood that
a meter, such as the site meter 115, capable of detecting watermark(s) to be
emitted by the
people monitoring watermarker 210 is nearby).
[0054] In some examples, the audio watermarker 305 employs
psychoacoustic
masking to increase the likelihood that the source of the input audio signal
processed by the input
audio evaluator 330 (e.g., the audio in the vicinity of the user device, which
may correspond to
the media presented by the media presentation device 110) will be able to mask
the people
monitoring watermark(s) emitted by the user device. In some such examples, the
audio
watermarker 305 uses the input audio level determined by the input audio
evaluator 330 to adjust
a level of the audio signal, which includes the people monitoring
watermark(s), that the audio
watermarker 305 is to provide to the audio circuitry 315. For example, the
audio watermarker
305 may adjust a level of the audio signal including the people monitoring
watermark(s) by
applying a gain factor or attenuation factor that causes the level of the
audio signal including the
people monitoring watermark(s) to be less than or equal to (or a fraction of,
etc.) the input audio
level determined by the input audio evaluator 330 for the input audio signal.
In this way, the
people monitoring watermark(s) may reside in the audible frequency range, but
may be masked
by (e.g., inaudible over) the ambient audio in the vicinity of the media
presentation device 110.
[0055] The clock 335 of the illustrated example provides clock
information (e.g., day
and time information) to the trigger condition evaluator 325. The trigger
condition evaluator 325
uses the clock information provided by the clock 335 to evaluate one or more
clock trigger
conditions. For example, the trigger condition evaluator 325 can determine
that a clock trigger
condition is satisfied when the clock information provided by the clock 335
indicates that the
current time (e.g., as determined by the clock 335) is within a specified time
period or set of time
periods. For example, the trigger condition evaluator 325 may be configured
with one or more
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time periods during which the output (e.g., emission) of people monitoring
watermark(s) is or is
not permitted. The trigger condition evaluator 325 can then limit emission of
people monitoring
watennark(s) to the permitted time period(s). For example, the trigger
condition evaluator 325
can use the clock information provided by the clock 335 to limit emission of
people monitoring
watermark(s) to daytime hours when people are not expected to be at work, and
not permit
people monitoring watermark(s) to be emitted at nighttime (e.g., when people
are expected to be
asleep), during normal business hours (e.g., when people are expected to be at
work), etc.
[0056] The location determiner 340 of the illustrated example provides
location
information (e.g., geographic positioning system (GPS) data and/or other
location data, etc.) to
the trigger condition evaluator 325. The trigger condition evaluator 325 uses
the location
information provided by the location determiner 340 to evaluate one or more
location trigger
conditions. For example, the trigger condition evaluator 325 can determine
that a location
trigger condition is satisfied when the location information provided by the
location determiner
340 indicates that the current location of the user device (e.g., as specified
by the location
information) is within a specified geographic area or set of geographic areas.
For example, the
trigger condition evaluator 325 may be configured with one or more geographic
areas within
which the output (e.g., emission) of people monitoring watermark(s) is or is
not permitted. The
trigger condition evaluator 325 can then limit emission of people monitoring
watermark(s) to
occur when the user device is located within the permitted geographic area(s).
For example, the
trigger condition evaluator 325 can use the location information provided by
the location
determiner 340 to limit emission of people monitoring watermark(s) to occur
when the user
device is located at the monitored site 105, and not permit people monitoring
watermark(s) to be
emitted when the user device is not located at the monitored site 105.
[0057] The device state evaluator 345 of the illustrated example
provides device state
information to the trigger condition evaluator 325. The trigger condition
evaluator 325 uses the
device state information provided by the location determiner 340 to evaluate
one or more device
state trigger conditions. For example, the trigger condition evaluator 325 can
determine that a
device state trigger condition is satisfied when the device state information
provided by the
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device state evaluator 345 indicates that the user device currently has a
given operating state.
For example, the trigger condition evaluator 325 may be configured with one or
more user
device operating states during which the output (e.g., emission) of people
monitoring
watermark(s) is or is not permitted. The trigger condition evaluator 325 can
then limit emission
of people monitoring watermark(s) to occur when the user device is operating
in one or more of
the permitted operating states. For example, the trigger condition evaluator
325 can use the
device state information provided by the device state evaluator 345 to limit
emission of people
monitoring watermark(s) to occur when the user device is already outputting
another audio
signal (e.g., to permit the audio circuitry 315 to combine the watermark(s)
with this audio
signal), and not permit people monitoring watermark(s) to be emitted when the
user device is not
already outputting another audio signal. As another example, the trigger
condition evaluator 325
can use the device state information provided by the device state evaluator
345 to limit emission
of people monitoring watermark(s) to occur when the user device is in an idle
operating state,
and not permit people monitoring watermark(s) to be emitted when the user
device is performing
a native operation, such as making a phone call, etc.
[0058] A block diagram of an example implementation of the site meter
115 of FIG. 1
is illustrated in FIG. 4. The example site meter 115 of FIG. 4 includes an
example sensor
interface 405 to obtain audio data from one or more of the example acoustic
sensors 120
included in and/or in communication with the site meter 115. In the
illustrated example, the
acoustic sensor(s) 120 may include one or more microphones, audio transducers,
etc., capable of
sensing acoustic signals, such as the example acoustic signals 125 and/or 135.
The sensor
interface 405 of the illustrated example includes any appropriate sensor
interface technology
(e.g., such as an audio gain control stage, an analog-to-digital conversion
stage, etc.) to process
the output(s) of the acoustic sensor(s) 120 to determine audio data, which may
be representative
of the sensed acoustic signals 125 and/or 135.
[0059] The example site meter 115 of FIG. 4 also includes an example
watermark
detector 410 to detect watermark(s) embedded in the audio data obtained from
the sensor
interface 405. In some examples, the watermark(s) is/are embedded in the
frequency domain of
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the audio data. In such examples, the watermark detector 410 employs frequency
domain
processing to detect whether a valid watermark is embedded in the frequency
domain of the
audio data obtained from the sensor interface 405. Example watermark detection
techniques that
can be implemented by the watermark detector 410 to detect watermarks embedded
in the
frequency domain of audio data include, but are not limited to, examples
disclosed in U.S. Patent
No. 8,359,205, U.S. Patent No. 8,369,972 and U.S. Publication No.
2010/0223062, which are
described in further detail above. In some examples, the watermark(s) is/are
embedded in the
time domain of the audio data. In such examples, the watermark detector 410
employs time
domain processing, such as amplitude demodulation, phase demodulation, spread
spectrum
detection, etc., to detect whether a valid watermark is embedded in the time
domain of the audio
data obtained from the sensor interface 405.
[0060] The example site meter 115 of FIG. 4 further includes an example
watermark
classifier 415 to classify the watermark(s) detected by the watermark detector
410 in the audio
data obtained from the sensor interface 405. For example, the acoustic signal
125 may include
media watermark(s) embedded in the media presented by the media presentation
device 110,
whereas the acoustic signal 135 emitted by the user device 140 may include
people monitoring
watermark(s). The media watermark(s) may convey digital information
identifying the media
(e.g., a name of the media), a source of the media, etc., whereas the people
monitoring
watermark(s) may convey digital information identifying the user device 140
and/or the user 130
of the user device 140, etc. In such examples, the watermark classifier 415
examines
characteristics of the detected watermark(s) to determine, for example,
whether a detected
watermark is a media watermark or a people monitoring watermark. In some such
examples, the
watermark classifier 415 examines the data conveyed by the detected watermark
to classify the
detected watermark as a media watermark or a people monitoring watermark.
Additionally or
alternatively, the watermark classifier 415 examines signal characteristics of
the watermarks,
such as the frequency band(s) in which the watermark was detected, to classify
the detected
watermark as a media watermark or a people monitoring watermark. For example,
and as
described above, the media watermark(s) may reside in a first range of
frequencies (e.g., a first
frequency band or set of bands), and the people monitoring watermark(s) may
reside in a second
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range of frequencies (e.g., a second frequency band or set of bands) different
from the first range
of frequencies. In such examples, the watermark classifier 415 may classify a
detected
watermark as a media watermark if the watermark was detected in the first
range of frequencies,
and may classify a detected watermark as a people monitoring watermark if the
watermark was
detected in the second range of frequencies. In some examples, if the
watermark classifier 415
classifies a detected watermark as a people monitoring watermark, the
watermark classifier 415
associates information with the detected watermark that indicates the trigger
condition(s) that
would have triggered emission of the people monitoring watermark.
[0061] The example site meter 115 of FIG. 4 includes an example data
reporter 420 to
report the watermark information decoded by the example watermark detector 410
and any
watermark classifications made by the watermark classifier 415 to, for
example, the data
processing facility 155 via the network 150. For example, the data reporter
420 can implement
any wireless (e.g., WiFiTM, cellular data, etc.) and/or wired (e.g., USB,
Ethernet, etc.) digital data
interface capable of sending digital information over a network, such as the
network 150, to a
receiving device, such as the data processing facility 155.
[0062] While example manners of implementing the audience metering
system 100
are illustrated in FIGS. 1-4, one or more of the elements, processes and/or
devices illustrated in
FIGS. 1-4 may be combined, divided, re-arranged, omitted, eliminated and/or
implemented in
any other way. Further, the example site meter 115, the example acoustic
sensor 120, the
example user devices 140, 140A and/or 140B, the example people meter 145, the
example
network 150, the example data processing facility 155, the example people
monitor downloader
205, the example people monitoring watermarker 210, the example watermarked
audio
downloader 215, the example audio data store 220, the example audio
watermarker 305, the
example audio data store 310, the example audio circuitry 315, the example
speaker(s) 320, the
example trigger condition evaluator 325, the example input audio evaluator
330, the example
clock 335, the example location determiner 340, the example device state
evaluator 345, the
example acoustic sensor 350, the example sensor interface 405, the example
watermark detector
410, the example watermark classifier 415, the example data reporter 420
and/or, more
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generally, the example audience metering system 100 of FIGS. 1-4 may be
implemented by
hardware, software, firmware and/or any combination of hardware, software
and/or firmware.
Thus, for example, any of the example site meter 115, the example acoustic
sensor 120, the
example user devices 140, 140A and/or 140B, the example people meter 145, the
example
network 150, the example data processing facility 155, the example people
monitor
downloader 205, the example people monitoring watermarker 210, the example
watermarked
audio downloader 215, the example audio data store 220, the example audio
watermarker 305,
the example audio data store 310, the example audio circuitry 315, the example
speaker(s) 320,
the example trigger condition evaluator 325, the example input audio evaluator
330, the
example clock 335, the example location determiner 340, the example device
state evaluator
345, the example acoustic sensor 350, the example sensor interface 405, the
example
watermark detector 410, the example watermark classifier 415, the example data
reporter 420
and/or, more generally, the example audience metering system 100 could be
implemented by
one or more analog or digital circuit(s), logic circuits, programmable
processor(s), application
specific integrated circuit(s) (ASIC(s)), programmable logic device(s)
(PLD(s)) and/or field
programmable logic device(s) (FPLD(s)). When reading any of the apparatus or
system claims
of this patent to cover a purely software and/or firmware implementation, at
least one of the
example audience metering system 100, the example site meter 115, the example
acoustic
sensor 120, the example user devices 140, 140A and/or 140B, the example people
meter 145,
the example network 150, the example data processing facility 155, the example
people
monitor downloader 205, the example people monitoring watermarker 210, the
example
watermarked audio downloader 215, the example audio data store 220, the
example audio
watermarker 305, the example audio data store 310, the example audio circuitry
315, the
example speaker(s) 320, the example trigger condition evaluator 325, the
example input audio
evaluator 330, the example clock 335, the example location determiner 340, the
example
device state evaluator 345, the example acoustic sensor 350, the example
sensor interface 405,
the example watermark detector 410, the example watermark classifier 415
and/or the example
data reporter 420 is/are hereby expressly defined to include a tangible
computer readable
storage device or storage disk such as a memory, a digital versatile disk
(DVD), a compact disk
(CD), a Blu-rayTM disk, etc. storing the
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software and/or firmware. Further still, the example audience metering system
100 of FIGS. 1-4
may include one or more elements, processes and/or devices in addition to, or
instead of, those
illustrated in FIGS. 1-4, and/or may include more than one of any or all of
the illustrated
elements, processes and devices.
[0063] Flowcharts representative of example machine readable
instructions for
implementing the example audience metering system 100, the example site meter
115, the
example acoustic sensor 120, the example user devices 140, 140A and/or 140B,
the example
people meter 145, the example network 150, the example data processing
facility 155, the
example people monitor downloader 205, the example people monitoring
watermarker 210, the
example watermarked audio downloader 215, the example audio data store 220,
the example
audio watermarker 305, the example audio data store 310, the example audio
circuitry 315, the
example speaker(s) 320, the example trigger condition evaluator 325, the
example input audio
evaluator 330, the example clock 335, the example location determiner 340, the
example device
state evaluator 345, the example acoustic sensor 350, the example sensor
interface 405, the
example watermark detector 410, the example watermark classifier 415 and/or
the example data
reporter 420 are shown in FIGS. 5-12. In these examples, the machine readable
instructions
comprise one or more programs for execution by a processor, such as the
processor 1312 shown
in the example processor platform 1300 discussed below in connection with FIG.
13. The one or
more programs, or portion(s) thereof, may be embodied in software stored on a
tangible
computer readable storage medium such as a CD-ROM, a floppy disk, a hard
drive, a digital
versatile disk (DVD), a Blu-ray diskTm, or a memory associated with the
processor 1312, but the
entire program or programs and/or portions thereof could alternatively be
executed by a device
other than the processor 1312 and/or embodied in firmware or dedicated
hardware (e.g.,
implemented by an ASIC, a PLD, an FPLD, discrete logic, etc.). Further,
although the example
program(s) is(are) described with reference to the flowcharts illustrated in
FIGS. 5-12, many
other methods of implementing the example audience metering system 100, the
example site
meter 115, the example acoustic sensor 120. the example user devices 140, 140A
and/or 140B.
the example people meter 145, the example network 150, the example data
processing facility
155, the example people monitor downloader 205, the example people monitoring
watermarker
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210, the example watermarked audio downloader 215, the example audio data
store 220, the
example audio watermarker 305, the example audio data store 310, the example
audio circuitry
315, the example speaker(s) 320, the example trigger condition evaluator 325,
the example input
audio evaluator 330, the example clock 335, the example location determiner
340, the example
device state evaluator 345, the example acoustic sensor 350, the example
sensor interface 405,
the example watermark detector 410, the example watermark classifier 415
and/or the example
data reporter 420 may alternatively be used. For example, with reference to
the flowcharts
illustrated in FIGS. 5-12, the order of execution of the blocks may be
changed, and/or some of
the blocks described may be changed, eliminated, combined and/or subdivided
into multiple
blocks.
[0064] As mentioned above, the example processes of FIGS. 5-12 may be
implemented using coded instructions (e.g., computer and/or machine readable
instructions)
stored on a tangible computer readable storage medium such as a hard disk
drive, a flash
memory, a read-only memory (ROM), a compact disk (CD), a digital versatile
disk (DVD), a
cache, a random-access memory (RAM) and/or any other storage device or storage
disk in which
information is stored for any duration (e.g., for extended time periods,
permanently, for brief
instances, for temporarily buffering, and/or for caching of the information).
As used herein, the
term tangible computer readable storage medium is expressly defined to include
any type of
computer readable storage device and/or storage disk and to exclude
propagating signals and to
exclude transmission media. As used herein, "tangible computer readable
storage medium" and
"tangible machine readable storage medium" are used interchangeably.
Additionally or
alternatively, the example processes of FIGS. 5-12 may be implemented using
coded instructions
(e.g., computer and/or machine readable instructions) stored on a non-
transitory computer and/or
machine readable medium such as a hard disk drive, a flash memory, a ROM, a
CD, a DVD, a
cache, a RAM and/or any other storage device or storage disk in which
information is stored for
any duration (e.g., for extended time periods, permanently, for brief
instances, for temporarily
buffering, and/or for caching of the information). As used herein, the term
non-transitory
computer readable medium is expressly defined to include any type of computer
readable storage
device and/or storage disk and to exclude propagating signals and to exclude
transmission media.
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As used herein, when the phrase "at least" is used as the transition term in a
preamble of a claim,
it is open-ended in the same manner as the term "comprising" is open ended.
Also, as used
herein, the terms "computer readable" and "machine readable" are considered
equivalent unless
indicated otherwise.
[0065] An example program 500 that may be executed by the example user devices
140 and/or 140A of FIGS. 1 and/or 2 to download the example people monitoring
watermarker
210 is represented by the flowchart shown in FIG. 5. For convenience and
without loss of
generality, the example program 500 is described in the context of being
executed by the
example user device 140A. With reference to the preceding figures and
associated written
descriptions, the example program 500 of FIG. 5 begins execution at block 505
at which the user
device 140A downloads the people monitoring watermarker 210 from the example
data
processing facility 155 via the example network 150, as described above. At
block 510, the user
device 140A installs and activates the people monitoring watermarker 210, as
described above.
[0066] An example program 600 that may be executed by the example data
processing
facility 155 of FIGS. 1 and/or 2 to provide the example people monitoring
watermarker 210 to
user devices, such as the example user devices 140 and/or 140A, is represented
by the flowchart
shown in FIG. 6. With reference to the preceding figures and associated
written descriptions, the
example program 600 of FIG. 6 begins execution at block 605 at which the
example people
monitor downloader 205 of the data processing facility 155 receives a request
via the network
150 from a user device, such as the user device 140 or 140A, to download the
people monitoring
watermarker 210, as described above. At block 610, the people monitor
downloader 205 sends
the people monitoring watermarker 210 to the requesting user device, as
described above.
[0067] An example program 700 that may be executed by the example user devices
140 and/or 140B of FIGS. 1 and/or 2 to download audio data watermarked with
people
monitoring watermarks is represented by the flowchart shown in FIG. 7. For
convenience and
without loss of generality, the example program 700 is described in the
context of being executed
by the example user device 140B. With reference to the preceding figures and
associated written
descriptions, the example program 700 of FIG. 7 begins execution at block 705
at which the user
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device 140B requests watermarked audio data from the example data processing
facility 155 via
the example network 150, as described above. At block 710, the user device
140B downloads
and stores the requested watermarked audio data for output during use of the
user device 140B,
as described above.
[0068] An example program 800 that may be executed by the example data
processing
facility 155 of FIGS. 1 and/or 2 to provide audio data watermarked with people
monitoring
watermarks to user devices, such as the example user devices 140 and/or 140B,
is represented by
the flowchart shown in FIG. 8. With reference to the preceding figures and
associated written
descriptions, the example program 800 of FIG. 8 begins execution at block 805
at which the
example watermarked audio downloader 215 of the data processing facility 155
receives a
request via the network 150 from a user device, such as the user device 140 or
140B, to
download watermarked audio data, as described above. At block 810, the
watermarked audio
downloader 215 sends the requested watermarked audio data to the requesting
user device, as
described above.
[0069] A first example program 900 that may be executed to implement the
example
people monitoring watermarker 210 of FIGS. 2 and/or 3 in the example user
device 140 and/or
140A of FIGS. 1 and/or 2 is illustrated in FIG. 9. The example program 900 may
be executed at
predetermined intervals, based on an occurrence of a predetermined event,
etc., or any
combination thereof. With reference to the preceding figures and associated
written descriptions,
the example program 900 of FIG. 9 begins execution at block 905 at which
example trigger
condition evaluator 325 of the people monitoring watermarker 210 evaluates, as
described above,
one or more trigger conditions for outputting an audio signal (e.g., emitting
an acoustic signal)
including one or more people monitoring watermarks. Example machine readable
instructions
that may be executed to implement the processing at block 905 are illustrated
in FIG. 11, which
is described in detail below.
[0070] At block 910, the trigger condition evaluator 325 determines
whether the
trigger condition(s) evaluated at block 905 have been satisfied. If the
trigger condition(s) have
been satisfied (block 910), then at block 915 the trigger condition evaluator
325 causes the
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example audio watermarker 305 of the people monitoring watermarker 210 to
provide an audio
signal including the people monitoring watermark(s) to the example audio
circuitry 315, as
described above. As also described above, the audio circuitry 315 is to
process the audio signal
provided by the audio watermarker 305 to generate and output (e.g., emit),
from the user device
140/140A, a corresponding acoustic signal conveying the people monitoring
watermark(s).
[0071] At block 920, the people monitoring watermarker 210 determines
whether
people monitoring is complete. If people monitoring is not complete (block
920), processing
returns to block 905 and blocks subsequent thereto to enable the people
monitoring watermarker
210 to cause people monitoring watermark(s) to continue to be output by (e.g.,
emitted from) the
user device 140/140A. Otherwise, execution of the example program 900 ends.
[0072] A second example program 1000 that may be executed to implement the
example people monitoring watermarker 210 of FIGS. 2 and/or 3 in the example
user device 140
and/or 140A of FIGS. 1 and/or 2 is illustrated in FIG. 10. The example program
1000 may be
executed at predetermined intervals, based on an occurrence of a predetermined
event, etc., or
any combination thereof. Similar blocks in FIGS. 9 and 10 are labelled with
the same reference
numerals. With reference to the preceding figures and associated written
descriptions, the
example program 1000 of FIG. 10 begins execution at blocks 905 and 910 at
which the example
trigger condition evaluator 325 of the people monitoring watermarker 210
evaluates, as
described above, one or more trigger conditions for outputting an audio signal
(e.g., emitting an
acoustic signal) including one or more people monitoring watermarks. Example
machine
readable instructions that may be executed to implement the processing at
block 905 are
illustrated in FIG. 11, which is described in detail below.
[0073] At block 910, the trigger condition evaluator 325 determines
whether the
trigger condition(s) evaluated at block 905 have been satisfied. If the
trigger condition(s) have
been satisfied (block 910), then at block 1005 the trigger condition evaluator
325 causes the
example audio watermarker 305 of the people monitoring watermarker 210 to
generate or
retrieve an audio signal including people monitoring watermark(s), as
described above. At block
1010, the audio watermarker 305 adjusts, as described above, the level of the
watermarked audio
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signal obtained at block 1005 based on an input audio signal level determined
by the input audio
evaluator 330. For example, and as described in detail above, at block 1010
the audio
watermarker 305 may apply a gain factor or attenuation factor that causes the
level of the audio
signal obtained at block 1005, which includes the people monitoring
watermark(s), to be less
than or equal to (or a fraction of, etc.) the input audio level determined by
the input audio
evaluator 330 for the input audio signal. Such adjustments can increase the
likelihood that the
people monitoring watermark(s) is/are masked by the ambient audio. At block
1015, the audio
watermarker 305 provides the adjusted audio signal, which includes the people
monitoring
watermark(s), to the example audio circuitry 315, as described above.
[0074] At block 920, the people monitoring watermarker 210 determines
whether
people monitoring is complete. If people monitoring is not complete (block
920), processing
returns to block 905 and blocks subsequent thereto to enable the people
monitoring watermarker
210 to cause people monitoring watermark(s) to continue to be output by (e.g.,
emitted from) the
user device 140/140A. Otherwise, execution of the example program 1000 ends.
[0075] An example program 905P that may be executed to implement the example
trigger condition evaluator 325 of the example people monitoring watermarker
210 of FIG. 3,
and/or that may be used to implement the processing at block 905 of FIGS. 9
and/or 10, is
illustrated in FIG. 11. With reference to the preceding figures and associated
written
descriptions, the example program 905P of FIG. 11 begins execution at block
1105 at which the
trigger condition evaluator 325 indicates that an audio level trigger
condition for emitting people
monitoring watermark(s) is satisfied if an input audio level determined by the
example input
audio evaluator 330 of the people monitoring watermarker 210 meets a threshold
audio level, as
described above. At block 1110, the trigger condition evaluator 325 indicates
that a clock (or
day/time) trigger condition for emitting people monitoring watermark(s) is
satisfied if the current
time, as determined from clock information provided by the example clock 335
of the people
monitoring watermarker 210, is within one of the time period(s) (or window(s))
specified for
people monitoring, as described above. At block 1115, the trigger condition
evaluator 325
indicates that a location trigger condition for emitting people monitoring
watermark(s) is
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satisfied if the current location of the user device, as determined from
location information
provided by the example location determiner 340 of the people monitoring
watermarker 210, is
within one of the geographic area(s) specified for people monitoring, as
described above. At
block 1120, the trigger condition evaluator 325 indicates that a device state
trigger condition for
emitting people monitoring watermark(s) is satisfied if the example device
state evaluator 345 of
the people monitoring watermarker 210 indicates that the user device is
already outputting an
audio signal, such as a ringtone, an audible alert, an audio track, a movie,
etc. (or is otherwise in
a permitted operating state), as described above.
[0076] An example program 1200 that may be executed to implement the example
site
meter 115 of FIG. 1 is illustrated in FIG. 12. The example program 1200 may be
executed at
predetermined intervals, based on an occurrence of a predetermined event,
etc., or any
combination thereof. With reference to the preceding figures and associated
written descriptions,
the example program 1200 of FIG. 12 begins execution at block 1205 at which
the example
sensor interface 405 of the site meter 115 samples or otherwise obtains audio
data from the
example acoustic sensor(s) 120, as described above. At block 1210, the example
watermark
detector 410 of the site meter 115 performs watermark detection, as described
above, to detect
watermark(s) included in the audio data obtained at block 1205. At block 1215,
the example
watermark classifier 415 of the site meter 115 classifies the watermark(s)
detected at block 1210.
For example, and as described above, the watermark classifier 415 may classify
the detected
watermark(s) as media watermark(s), people monitoring watermark(s), etc. At
block 1220, the
example data reporter 420 of the site meter 115 reports the information
decoded by the example
watermark detector 410, the watermark classifications made by the watermark
classifier 415,
and/or any other data to the data processing facility 155, as described above.
[0077] At block 1225, the site meter 115 determines whether monitoring
is complete.
If monitoring is not complete (block 1225), processing returns to block 1205
and blocks
subsequent thereto to enable the site meter 115 to continue monitoring.
Otherwise, execution of
the example program 1200 ends.
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[0078] FIG. 13 is a block diagram of an example processor platform 1300
capable of
executing the instructions of FIGS. 5-12 to implement the example audience
metering system
100, the example site meter 115, the example acoustic sensor 120, the example
user devices 140,
140A and/or 140B, the example people meter 145, the example network 150, the
example data
processing facility 155, the example people monitor downloader 205, the
example people
monitoring watermarker 210, the example watermarked audio downloader 215, the
example
audio data store 220, the example audio watermarker 305, the example audio
data store 310, the
example audio circuitry 315, the example speaker(s) 320, the example trigger
condition evaluator
325, the example input audio evaluator 330, the example clock 335, the example
location
determiner 340, the example device state evaluator 345, the example acoustic
sensor 350, the
example sensor interface 405, the example watermark detector 410, the example
watermark
classifier 415 and/or the example data reporter 420 of FIGS. 1-4. The
processor platform 1300
can be, for example, a server, a personal computer, a mobile device (e.g., a
cell phone, a smart
phone, a tablet such as an iPadTm), a personal digital assistant (PDA), an
Internet appliance, a
DVD player, a CD player, a digital video recorder, a Blu-rayTm player, a
gaming console, a
personal video recorder, a set top box a digital camera, or any other type of
computing device.
[0079] The processor platform 1300 of the illustrated example includes a
processor
1312. The processor 1312 of the illustrated example is hardware. For example,
the processor
1312 can be implemented by one or more integrated circuits, logic circuits,
microprocessors or
controllers from any desired family or manufacturer.
[0080] The processor 1312 of the illustrated example includes a local
memory 1313
(e.g., a cache). The processor 1312 of the illustrated example is in
communication with a main
memory including a volatile memory 1314 and a non-volatile memory 1316 via a
link 1318. The
link 1318 may be implemented by a bus, one or more point-to-point connections,
etc., or a
combination thereof. The volatile memory 1314 may be implemented by
Synchronous Dynamic
Random Access Memory (SDRAM), Dynamic Random Access Memory (DRAM), RAMBUS
Dynamic Random Access Memory (RDRAM) and/or any other type of random access
memory
device. The non-volatile memory 1316 may be implemented by flash memory and/or
any other
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desired type of memory device. Access to the main memory 1314, 1316 is
controlled by a
memory controller.
[0081] The processor platform 1300 of the illustrated example also
includes an
interface circuit 1320. The interface circuit 1320 may be implemented by any
type of interface
standard, such as an Ethernet interface, a universal serial bus (USB), and/or
a PCI express
interface.
[0082] In the illustrated example, one or more input devices 1322 are
connected to the
interface circuit 1320. The input device(s) 1322 permit(s) a user to enter
data and commands
into the processor 1312. The input device(s) can be implemented by, for
example, an audio
sensor, a microphone, a camera (still or video), a keyboard, a button, a
mouse, a touchscreen, a
track-pad, a trackball, a trackbar (such as an isopoint), a voice recognition
system and/or any
other human-machine interface. Also, many systems, such as the processor
platform 1300, can
allow the user to control the computer system and provide data to the computer
using physical
gestures, such as, but not limited to, hand or body movements, facial
expressions, and face
recognition.
[0083] One or more output devices 1324 are also connected to the
interface circuit
1320 of the illustrated example. The output devices 1324 can be implemented,
for example, by
display devices (e.g., a light emitting diode (LED), an organic light emitting
diode (OLED), a
liquid crystal display, a cathode ray tube display (CRT), a touchscreen, a
tactile output device, a
printer and/or speakers). The interface circuit 1320 of the illustrated
example, thus, typically
includes a graphics driver card, a graphics driver chip or a graphics driver
processor.
[0084] The interface circuit 1320 of the illustrated example also
includes a
communication device such as a transmitter, a receiver, a transceiver, a modem
and/or network
interface card to facilitate exchange of data with external machines (e.g.,
computing devices of
any kind) via a network 1326 (e.g., an Ethernet connection, a digital
subscriber line (DSL), a
telephone line, coaxial cable, a cellular telephone system, etc.).
[0085] The processor platform 1300 of the illustrated example also
includes one or
more mass storage devices 1328 for storing software and/or data. Examples of
such mass
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storage devices 1328 include floppy disk drives, hard drive disks, compact
disk drives, Blu-raymi
disk drives, RAID (redundant array of independent disks) systems, and digital
versatile disk
(DVD) drives.
[0086] Coded instructions 1332 corresponding to the instructions of
FIGS. 5-12 may
be stored in the mass storage device 1328, in the volatile memory 1314, in the
non-volatile
memory 1316, in the local memory 1313 and/or on a removable tangible computer
readable
storage medium, such as a CD or DVD 1336.
[0087] Although certain example methods, apparatus and articles of
manufacture have
been disclosed herein, the scope of coverage of this patent is not limited
thereto. On the
contrary, this patent covers all methods, apparatus and articles of
manufacture fairly falling
within the scope of the claims of this patent.
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